Document Type: Regular Paper
Tick-borne diseases (TBDs) aect 80 of the world's cattle population, hampering livestock
production throughout the world. In this article we will consider the Babesiosis disease in
bovine and tick populations model. We conduct the local and global stability analysis of the
model. We present a dynamic behavior of this model using an ecient computational algo-
rithm, namely the multistage modied sinc method(MMSM). The MMSM is used here as an
algorithm for approximating the solutions of proposed system in a sequence of time intervals.
In order to show the eciency of the method, the obtained numerical results are compared
with the fourth-order Runge-Kutta method (RKM). It is shown that the MMSM has the ad-
vantage of giving an analytical form of the solution within each time interval which is not
possible in purely numerical techniques like RKM.